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dc.contributor.authorQureshi, Muhammad Asim
dc.contributor.supervisorAssoc. Prof. Mohammad Waqar Ali Asaden_US
dc.date.accessioned2018-06-28T03:18:07Z
dc.date.available2018-06-28T03:18:07Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/20.500.11937/68406
dc.description.abstract

This study presents a new mathematical model for cut-off grade and production scheduling optimisation in open pit mining operations. The model maximises the net present value of the operation subject to the mining precedence, production capacity, and grade-blending constraints. A solution using exact method establishes the computational complexity of the model. Consequently, a hybrid-metaheuristic is developed to solve practical instances of the model. Performance evaluation reflects an acceptable gap between the exact and heuristic solutions.

en_US
dc.publisherCurtin Universityen_US
dc.titleAn Implementation of Ant Colony and Genetic Algorithm based Hybrid-Metaheuristic for Cut-off Grade Optimization in Open-Pit Mining Operationsen_US
dc.typeThesisen_US
dcterms.educationLevelPhDen_US
curtin.departmentWestern Australian School of Minesen_US
curtin.accessStatusOpen accessen_US
curtin.facultyScience and Engineeringen_US


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